Co-founded Scrut Automation in late 2021 at age 23, raised $3.1M from Lightspeed Venture Partners and Endiya Partners, and grew to 200 enterprise customers and 70 engineers by age 25; named to Forbes India 30 Under 30 2023.
Born in Mumbai, India. Started his first tech business at age 13 — MHMGaming, a gaming server portal offering hosting for games like Counter-Strike, where he handled system setup, Linux servers, and hardware management. Earned a Bachelor of Engineering in Computer Science from Mumbai University. Interned at Neuralbits Technologies (2018), co-founded Gomigo (an accounting tool for small businesses), and then co-founded Scrut Automation in late 2021 with Aayush Ghosh Choudhury and Kush Kaushik.
Born in Mumbai, Maharashtra, India; started first tech business (gaming server hosting) at age 13 with friends; parents' professions not documented.
Current position (2025)
Co-founder and CTO of Scrut Automation; 70 engineers; 200 enterprise customers across US, EU, and APAC; Forbes India 30 Under 30 2023.
Where the conditions came from
Three sources, read side by side
Each is placed on a −1 to 3 scale from documented evidence, and the three are never added together. A combined total would rank Jayesh Gadewar against other people. Held apart, they explain why this path ran differently from another one—which is the only comparison this project supports.
The marble itself
What they brought
+2Tailwind
-10+1+2+3
What capability, drive, or early skill is documented in the person rather than their surroundings?
Started a gaming server business (MHMGaming) at age 13, managing Linux servers and hardware for Counter-Strike hosting. Self-taught systems experience well before university, showing early technical aptitude and entrepreneurial drive.
Where it was dropped
What they were handed
0Neither way
-10+1+2+3
What money, family standing, network, or permission was already in place before the work began?
Born in Mumbai, India in 1999. No evidence of family wealth or domain connections. Attended Mumbai University for engineering — a standard public university path.
The shape of the track
What surrounded them
+1Tailwind
-10+1+2+3
What place, timing, institution, or peer group made the next step available?
Mumbai University engineering provided baseline technical education. Co-founder team at Scrut Automation and Lightspeed/Endiya backing provided some ecosystem support, but no elite institutions or notable mentors in early stages.
A −1 is a documented headwind, not a missing value; a 0 means the sources record nothing notable either way. Annotation confidence: Medium. These are analyst readings of what the sources record, not measurements of merit, talent, or effort. The twenty-two scored dimensions remain available inside the deeper research detail.
What moved through the conditions
Perseverance and luck stay visible—not scored.
Documented perseveranceNot documented in the reviewed biographical summaries.
Silence in a biography is not evidence that perseverance was absent.
Structural luckThe idea emerged from building internal compliance automations at a previous venture.
This is an unchosen opening or condition in the record, not an estimate of how much luck caused the outcome.
Describes the starting position, not what the person later made of it.
Cohort percentile: 89
02 Built or converted leverage
14/25 multiplying-capacity score
Strongest observed levers: Complementary team, Domain proximity, Started serious reps before 20.
Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Cohort percentile: 89
03 Compounding trajectory
5 documented steps
The timeline below shows the sequence of work and transitions around the selected early milestone. It is evidence of a path, not proof that every step was necessary.
Milestone at age 23
04 Observed career standing
T4 · Specialist-known
Notable, but primarily known within a niche. The tier summarizes documented career recognition through the data cutoff—not Jayesh Gadewar's worth or future potential.
Each non-zero lever gets a best-supported origin, evidence signals, and confidence. Unresolved is the honest default when the biography cannot distinguish self-built, advantage-enabled, earned, external, or mixed.
Started serious reps before 201/1
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Rare early tools (1/2)Elite institution pipeline (1/2)Early online platform (1/2)
Complementary team2/2
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Jayesh Gadewar's outcome attributable to any origin.
Luck is not a leftover score.
Structural luck, Encounter luck, Event luck, Outcome variance can change every arrow in the path. This successful-only dataset cannot observe the near-identical paths that did not break through, so luck stays visible and unscored.
Within Founders / operators, Jayesh Gadewar's starting-advantage total is at the 89th percentile. Separately, their built or converted leverage total is at the 89th percentile. Other T4 profiles average 5.9 / 24 starting advantage and 10.4 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
2011 · age 13
Co-founded MHMGaming, a gaming server portal offering hosting
For Counter-Strike and other games; managed Linux servers and hardware.
2018 · age 20
Software engineering internship
Neuralbits Technologies while studying at Mumbai University.
2020 · age 22
Co-founded Gomigo, a simple accounting tool for small businesses
Aayush Ghosh Choudhury and Kush Kaushik; raised $3.1M from Lightspeed and Endiya Partners.
2023 · age 25
Named to Forbes India 30 Under 30 2023
Scrut grown to 70 engineers and 200 enterprise customers.
Primary leverage engine
Early technical reps
Early specialization / prior reps
Secondary engine
Product / domain insight
Built/converted leverage
14 / 25
evidence: Medium
Built or converted leverage
Multiplying capacity documented later in the path. Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Started serious reps before 20
1/1
Prior reps
2/3
Scarce skill depth
2/3
Native distribution
0/3
Elite ecosystem network
1/3
Complementary team
2/2
Structural wave / timing
2/3
Concentration intensity
2/3
Capital safety
0/2
Domain proximity
2/2
Starting-advantage scores (0–2 each)
Access or conditions documented near the beginning of the path. Zero means "no clear evidence in reviewed sources," not "advantage was absent."
Family financial platform
0/2
Parent / family domain
0/2
Inherited audience / network
0/2
Elite institution pipeline
1/2
Frontier geography
1/2
Rare early tools
1/2
Dedicated mentor / coach
0/2
Exceptional peer / cofounder
2/2
Early online platform
1/2
Direct domain exposure
2/2
Prodigy / innate ability
0/2
Adversity / constraint catalyst
0/2
Family context
Born in Mumbai, Maharashtra, India. Parents' names and professions not documented in reviewed sources. Started a gaming server business at 13 with friends, indicating early technical curiosity and self-driven entrepreneurship.
Parent / family domain
Not documented in reviewed sources. Early tech business at 13 suggests self-driven interest rather than family domain transfer.
Archetype & tags
Self-created domain repetitiongaming server business at 13Linux/server managementMumbai University engineeringco-founder teamGRC compliance domainLightspeed backing
Evidence summary
Jayesh Gadewar started his first tech business at age 13, running a gaming server portal (MHMGaming) for titles like Counter-Strike, where he managed Linux servers and hardware. This early technical self-education gave him deep systems experience before university. After earning an engineering degree from Mumbai University and a brief internship at Neuralbits Technologies, he co-founded Gomigo (accounting tool) and then Scrut Automation in late 2021 with two co-founders. The idea emerged from building internal compliance automations at a previous venture. Scrut raised $3.1M from Lightspeed and grew to 200 enterprise customers. Family background details are not documented in reviewed sources.